ML & Data – Summer Internship – Sweden 162 visningar0 ansökningar

Hey, here’s your chance to be a full time Spotify employee, starting with a summer internship!

Our Roles Within ML & Data

For the Summer of 2019 we are among others looking for interns in these areas below. Please note that we might have more than one role within each area within multiple teams.

Machine Learning

We are looking for Machine Learning Engineering Interns to help drive a data-driven culture across Spotify. You will apply machine learning methods to massive data sets to extend and enhance Spotify’s means of understanding and engaging users across various contexts and modalities. Build upon Spotify’s deep understanding of our content, users, and artists to develop rich analytics, engagement, and business applications.

Course Computer Science, Machine Learning,

Skills Java, Scala or Python

Data Engineering

We are looking for interns who are enthusiastic about data to focus on building structured, high-quality data solutions which we use to evolve our products and bring better music and digital media experiences to our 140 million users and the global artist community alike. You will design, develop, and test data-driven solutions by working with state-of-the-art data processing frameworks and technologies. Processing on huge datasets and trying to make access to this data as easy as possible for everyone else at Spotify.

Course Data Engineering, Computer Science, Machine Learning, Physics

Skills Java, Python, SQL

Data Science/Analytics

We are looking for interns to join our Analytics team. The mission is to turn terabytes of data into insights and get a deep understanding of the world of music and listeners. Together with us you will study user behaviour, evaluate strategic initiatives and experiment with new features. Above all, your work will impact the way the world experiences music. You will perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business. Communicate data-driven insights and recommendations to team members and other teams within Spotify.

Course Computer Science, Statistics, Maths

Skills Pandas, R, SPSS, SQL, or Hadoop

The Internship Gig

This isn’t just any internship! Our paid internship program will last for 12 weeks next summer starting in the middle of June, and you’ll get a chance to gain in-depth knowledge of what it’s like to be a Spotify employee.

For the Program we’re looking for enthusiastic students/recent graduates with a passion for music and an ambition to go far, just like us. You should be at the end of your studies, graduating latest Summer 2020 or recently graduated from your studies.

Make sure attach your CV and Cover letter in English and specify what Intern role you’re interested in, in the application form. We will then match you with the best Intern role based on your interest and skill set.

The deadline to apply is December 3rd, 2018 at 11:59 PM CET. You can expect the following application timeline:

  • Late December, 2018 – Mid January, 2019: Application Review
  • Late January, 2019 – March, 2019: Interviews
  • February, 2019 – April, 2019: Offers given out
  • 10 June, 2019: Intern program start

We strongly believe that diversity of experience, perspectives, and background will lead to a better workplace for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Psst! If this job is your perfect match and you want some inside tips before you apply, read this blog post by our Head of Talent Acquisition Fredrik Johnsson.

Dela annonsen
With Spotify, it’s easy to find the right music for every moment – on your phone, your computer, your tablet and more. There are millions of tracks on Spotify. So whether you’re working out, partying or relaxing, the right music is always at your fingertips. Choose what you want to listen to, or let Spotify surprise you. We’re growing like crazy. So we always need more talented people to join our global team.

Om oss

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